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A quantitative characterization of tuberculin skin test indurations using hyperspectral imaging to enable automated latent tuberculosis screening
Published 2026“…The features were used, in conjunction with a support vector machine model, to rank the ability of the generated chromophore maps to predict LTBI. …”
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A design framework for aggregation in a system of digital twins
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UAV-based track bed inspection and monitoring
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In-Line Monitoring of Red Wine Fermentation
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An empirical analysis of poverty, inequality and the labour market in Malawi
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Investigating the significance of reputational risk In banks' financial performance
Published 2025“…This was conducted using the Generalized Least Square (GLS) Random Effects model. The rigorous application of multicollinearity, heteroskedasticity, and autocorrelation tests ensures the validity of the random effects model employed. …”
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Relational requirements of attachment and the well-being of adolescents in the family
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Frost tolerance of various Pinus species and hybrids
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Growth response of Eucalyptus clones to different soils in a nursery environment
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Glycerol and wine
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Information monitoring and current awareness services supporting the information behaviour of pregnant women
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South Africa's headquarter company regime: a gateway barred from within
Published 2017“…Therefore, if the regime adopts the 'effective, reliable tax relief for strategic local substance' model of incentivisation South Africa can still reap the benefits of direct investment by MNEs.…”
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An empirical assessment of effectually co-creating market and growth opportunities by corporate entrepreneurs
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Collaborative control of wave glider platforms - Local Communication and Sea State Estimation
Published 2020“…During the development of the Kalman Filter model, it was discovered that the sample time and the sample space significantly affect the performance and the stability of the discretised models. …”
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Seismic performance evaluation of an axially loaded reinforced concrete footing using pseudo-dynamic experimentation
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Detecting change in complex process systems with phase space methods
Published 2008“…Model predictive control has become a standard for most control strategies in modern process plants. …”
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